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Choosing the right AWS disaster recovery strategy in 2026
Organizations unprepared for outages often have a disaster recovery plan that does not match their business needs. These metrics ...
Compare AI risk management frameworks from NIST and beyond
While NIST is the most widely used, it's just one of the frameworks available today that can help manage the risks associated ...
AI tools are making resilience an enterprise-wide discipline
AI tools that support resilience at the business unit level can enable more personnel across an organization to engage in ...

Verify backup data integrity to reduce recovery risks
Validation is an essential part of data backups. Test and confirm that your backup data is intact and usable now, rather than ...
The benefits of tape vs. disk backup for enterprise storage
Data growth forces companies to find the right backup media. Tape and disk are reliable options, but there are many factors to ...
HYCU releases aiR intelligence layer to interrogate backups
The vendor is harnessing the data already stored in HYCU R-Cloud backups to provide users with insights and protect against ...

Navigating energy management strategies in AI data centers
Data centers face increasing energy demands driven by AI applications. This shift prompts a focus on energy management strategies...
Microgrids: Transforming data center energy resilience
As AI demands surge, data centers are turning to microgrids for resilience and cost efficiency, ensuring reliable energy amid ...
Dell AI Factory gets rack-scale infrastructure refresh
Dell claims its new PowerRack systems can be up and running in less than a day and begins connecting its AI stack with existing ...

IT orgs cautiously try AI agents for infrastructure as code
Enterprise IT leaders at regulated companies keep a tight leash on AI agents for infrastructure as code, but some envision a new ...
IT automation challenges and how to overcome them
IT automation promises faster operations and lower costs, but legacy systems, AI risks, maintenance complexity and skills gaps ...
Preparing for the vital but complex era of AI
AI is becoming essential, but its complexity pushes businesses to modernize legacy systems, consolidate platforms and expand ...

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